Overview

Dataset statistics

Number of variables13
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory111.7 B

Variable types

Categorical4
Text6
DateTime1
Numeric2

Dataset

Description경상남도 김해시 소재 고등학교 현황 데이터로 시도명, 시군구명, 설립, 학교명, 고교유형, 개교일자, 우편번호, 도로명주소, 위도, 경도 등으로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15116696

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
설립 is highly imbalanced (57.4%)Imbalance
학교명 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
전화번호 has unique valuesUnique
팩스번호 has unique valuesUnique
홈페이지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:25:43.682230
Analysis finished2023-12-11 00:25:44.781722
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
경상남도
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도
2nd row경상남도
3rd row경상남도
4th row경상남도
5th row경상남도

Common Values

ValueCountFrequency (%)
경상남도 23
100.0%

Length

2023-12-11T09:25:44.841115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:25:44.932931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 23
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
김해시
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김해시
2nd row김해시
3rd row김해시
4th row김해시
5th row김해시

Common Values

ValueCountFrequency (%)
김해시 23
100.0%

Length

2023-12-11T09:25:45.018709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:25:45.118219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김해시 23
100.0%

설립
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
공립
21 
사립
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립
2nd row공립
3rd row공립
4th row공립
5th row공립

Common Values

ValueCountFrequency (%)
공립 21
91.3%
사립 2
 
8.7%

Length

2023-12-11T09:25:45.219416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:25:45.306557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 21
91.3%
사립 2
 
8.7%

학교명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:25:45.490583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1304348
Min length6

Characters and Unicode

Total characters187
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row구산고등학교
2nd row김해가야고등학교
3rd row김해건설공업고등학교
4th row김해경원고등학교
5th row김해고등학교
ValueCountFrequency (%)
구산고등학교 1
 
4.3%
김해여자고등학교 1
 
4.3%
김해중앙여자고등학교 1
 
4.3%
진영제일고등학교 1
 
4.3%
진영고등학교 1
 
4.3%
장유고등학교 1
 
4.3%
김해제일고등학교 1
 
4.3%
김해임호고등학교 1
 
4.3%
김해율하고등학교 1
 
4.3%
김해외국어고등학교 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T09:25:45.816543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 24
12.8%
고 23
12.3%
등 23
12.3%
교 23
12.3%
김 19
10.2%
해 19
10.2%
자 4
 
2.1%
여 4
 
2.1%
영 3
 
1.6%
일 3
 
1.6%
Other values (37) 42
22.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 24
12.8%
고 23
12.3%
등 23
12.3%
교 23
12.3%
김 19
10.2%
해 19
10.2%
자 4
 
2.1%
여 4
 
2.1%
영 3
 
1.6%
일 3
 
1.6%
Other values (37) 42
22.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 24
12.8%
고 23
12.3%
등 23
12.3%
교 23
12.3%
김 19
10.2%
해 19
10.2%
자 4
 
2.1%
여 4
 
2.1%
영 3
 
1.6%
일 3
 
1.6%
Other values (37) 42
22.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 24
12.8%
고 23
12.3%
등 23
12.3%
교 23
12.3%
김 19
10.2%
해 19
10.2%
자 4
 
2.1%
여 4
 
2.1%
영 3
 
1.6%
일 3
 
1.6%
Other values (37) 42
22.5%

고교유형
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
일반고
15 
특성화고(직업)
4 
자율고
3 
특수목적고
 
1

Length

Max length8
Median length3
Mean length3.9565217
Min length3

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row일반고
2nd row일반고
3rd row특성화고(직업)
4th row자율고
5th row자율고

Common Values

ValueCountFrequency (%)
일반고 15
65.2%
특성화고(직업) 4
 
17.4%
자율고 3
 
13.0%
특수목적고 1
 
4.3%

Length

2023-12-11T09:25:45.944035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:25:46.044196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반고 15
65.2%
특성화고(직업 4
 
17.4%
자율고 3
 
13.0%
특수목적고 1
 
4.3%

개교일자
Date

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum1927-05-05 00:00:00
Maximum2017-03-01 00:00:00
2023-12-11T09:25:46.159619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:46.263147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

우편번호
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:25:46.454884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters138
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)73.9%

Sample

1st row508-32
2nd row509-53
3rd row509-11
4th row509-57
5th row509-34
ValueCountFrequency (%)
508-99 2
 
8.7%
508-86 2
 
8.7%
508-11 2
 
8.7%
510-21 1
 
4.3%
508-32 1
 
4.3%
509-13 1
 
4.3%
509-22 1
 
4.3%
508-64 1
 
4.3%
508-65 1
 
4.3%
509-80 1
 
4.3%
Other values (10) 10
43.5%
2023-12-11T09:25:46.811375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 26
18.8%
0 25
18.1%
- 23
16.7%
8 15
10.9%
1 14
10.1%
9 13
9.4%
6 5
 
3.6%
3 5
 
3.6%
4 5
 
3.6%
2 5
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
83.3%
Dash Punctuation 23
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 26
22.6%
0 25
21.7%
8 15
13.0%
1 14
12.2%
9 13
11.3%
6 5
 
4.3%
3 5
 
4.3%
4 5
 
4.3%
2 5
 
4.3%
7 2
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 26
18.8%
0 25
18.1%
- 23
16.7%
8 15
10.9%
1 14
10.1%
9 13
9.4%
6 5
 
3.6%
3 5
 
3.6%
4 5
 
3.6%
2 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 26
18.8%
0 25
18.1%
- 23
16.7%
8 15
10.9%
1 14
10.1%
9 13
9.4%
6 5
 
3.6%
3 5
 
3.6%
4 5
 
3.6%
2 5
 
3.6%

도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:25:47.085867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length33.086957
Min length22

Characters and Unicode

Total characters761
Distinct characters89
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row경상남도 김해시 가야로 311 (구산동. 구산고등학교)
2nd row경상남도 김해시 경원로 98 (내동. 김해가야고등학교)
3rd row경상남도 김해시 구지로 109 (구산동. 김해건설공업고등학교)
4th row경상남도 김해시 우암로 18 (외동. 김해경원고등학교)
5th row경상남도 김해시 활천로24번길 29 김해고등학교 (삼정동. 김해고등학교)
ValueCountFrequency (%)
경상남도 23
 
16.3%
김해시 23
 
16.3%
6
 
4.3%
외동 3
 
2.1%
율하동 3
 
2.1%
진영읍 3
 
2.1%
분성로3번길 2
 
1.4%
번화1로 2
 
1.4%
김해고등학교 2
 
1.4%
29 2
 
1.4%
Other values (69) 72
51.1%
2023-12-11T09:25:47.579575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
15.5%
김 40
 
5.3%
해 40
 
5.3%
경 25
 
3.3%
남 24
 
3.2%
상 24
 
3.2%
도 23
 
3.0%
시 23
 
3.0%
) 23
 
3.0%
학 23
 
3.0%
Other values (79) 398
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
64.7%
Space Separator 118
 
15.5%
Decimal Number 81
 
10.6%
Close Punctuation 23
 
3.0%
Open Punctuation 23
 
3.0%
Other Punctuation 22
 
2.9%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 40
 
8.1%
해 40
 
8.1%
경 25
 
5.1%
남 24
 
4.9%
상 24
 
4.9%
도 23
 
4.7%
시 23
 
4.7%
학 23
 
4.7%
동 22
 
4.5%
등 22
 
4.5%
Other values (64) 226
45.9%
Decimal Number
ValueCountFrequency (%)
1 21
25.9%
2 14
17.3%
7 10
12.3%
3 9
11.1%
9 7
 
8.6%
6 4
 
4.9%
0 4
 
4.9%
5 4
 
4.9%
8 4
 
4.9%
4 4
 
4.9%
Space Separator
ValueCountFrequency (%)
118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
64.7%
Common 269
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 40
 
8.1%
해 40
 
8.1%
경 25
 
5.1%
남 24
 
4.9%
상 24
 
4.9%
도 23
 
4.7%
시 23
 
4.7%
학 23
 
4.7%
동 22
 
4.5%
등 22
 
4.5%
Other values (64) 226
45.9%
Common
ValueCountFrequency (%)
118
43.9%
) 23
 
8.6%
( 23
 
8.6%
. 22
 
8.2%
1 21
 
7.8%
2 14
 
5.2%
7 10
 
3.7%
3 9
 
3.3%
9 7
 
2.6%
6 4
 
1.5%
Other values (5) 18
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
64.7%
ASCII 269
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
43.9%
) 23
 
8.6%
( 23
 
8.6%
. 22
 
8.2%
1 21
 
7.8%
2 14
 
5.2%
7 10
 
3.7%
3 9
 
3.3%
9 7
 
2.6%
6 4
 
1.5%
Other values (5) 18
 
6.7%
Hangul
ValueCountFrequency (%)
김 40
 
8.1%
해 40
 
8.1%
경 25
 
5.1%
남 24
 
4.9%
상 24
 
4.9%
도 23
 
4.7%
시 23
 
4.7%
학 23
 
4.7%
동 22
 
4.5%
등 22
 
4.5%
Other values (64) 226
45.9%

위도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.233415
Minimum35.168232
Maximum35.304771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T09:25:47.727446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.168232
5-th percentile35.171162
Q135.2167
median35.238262
Q335.252557
95-th percentile35.300024
Maximum35.304771
Range0.13653922
Interquartile range (IQR)0.035857335

Descriptive statistics

Standard deviation0.036645989
Coefficient of variation (CV)0.0010400919
Kurtosis0.043146722
Mean35.233415
Median Absolute Deviation (MAD)0.01641198
Skewness-0.092212379
Sum810.36854
Variance0.0013429285
MonotonicityNot monotonic
2023-12-11T09:25:47.870923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35.25044033 1
 
4.3%
35.23623144 1
 
4.3%
35.23923835 1
 
4.3%
35.2325973 1
 
4.3%
35.30373519 1
 
4.3%
35.30477147 1
 
4.3%
35.20201082 1
 
4.3%
35.23962622 1
 
4.3%
35.23826155 1
 
4.3%
35.17410077 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
35.16823225 1
4.3%
35.17083543 1
4.3%
35.17410077 1
4.3%
35.18791731 1
4.3%
35.19861333 1
4.3%
35.20201082 1
4.3%
35.23138837 1
4.3%
35.23185397 1
4.3%
35.2325973 1
4.3%
35.23623144 1
4.3%
ValueCountFrequency (%)
35.30477147 1
4.3%
35.30373519 1
4.3%
35.26662441 1
4.3%
35.26547464 1
4.3%
35.25534106 1
4.3%
35.25467353 1
4.3%
35.25044033 1
4.3%
35.23979342 1
4.3%
35.23962622 1
4.3%
35.23954058 1
4.3%

경도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.84728
Minimum128.73
Maximum128.91667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T09:25:48.021991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.73
5-th percentile128.74862
Q1128.8058
median128.86182
Q3128.87776
95-th percentile128.90523
Maximum128.91667
Range0.1866745
Interquartile range (IQR)0.0719605

Descriptive statistics

Standard deviation0.05045648
Coefficient of variation (CV)0.00039159912
Kurtosis0.087867217
Mean128.84728
Median Absolute Deviation (MAD)0.0342712
Skewness-0.85028966
Sum2963.4873
Variance0.0025458563
MonotonicityNot monotonic
2023-12-11T09:25:48.175817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
128.8756712 1
 
4.3%
128.8710797 1
 
4.3%
128.9166749 1
 
4.3%
128.8886185 1
 
4.3%
128.7432411 1
 
4.3%
128.7300004 1
 
4.3%
128.8039208 1
 
4.3%
128.8538883 1
 
4.3%
128.8531159 1
 
4.3%
128.8069829 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
128.7300004 1
4.3%
128.7432411 1
4.3%
128.7969909 1
4.3%
128.8005207 1
4.3%
128.8039208 1
4.3%
128.8046123 1
4.3%
128.8069829 1
4.3%
128.8164313 1
4.3%
128.8531159 1
4.3%
128.8538883 1
4.3%
ValueCountFrequency (%)
128.9166749 1
4.3%
128.9054752 1
4.3%
128.9029991 1
4.3%
128.8960867 1
4.3%
128.8886185 1
4.3%
128.8795888 1
4.3%
128.8759274 1
4.3%
128.8756712 1
4.3%
128.8745583 1
4.3%
128.8738673 1
4.3%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:25:48.384420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.043478
Min length12

Characters and Unicode

Total characters277
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row055-310-7600
2nd row055-330-1333
3rd row055-340-7495
4th row055-310-3200
5th row055-335-3307
ValueCountFrequency (%)
055-310-7600 1
 
4.3%
055-310-3501 1
 
4.3%
055-324-2724 1
 
4.3%
055-343-5411 1
 
4.3%
055-344-2706 1
 
4.3%
055-310-7914 1
 
4.3%
055-329-6011 1
 
4.3%
055-310-6300 1
 
4.3%
055-323-1909 1
 
4.3%
055-312-1280 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T09:25:48.778210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
21.3%
5 52
18.8%
- 46
16.6%
3 37
13.4%
1 25
9.0%
2 16
 
5.8%
7 14
 
5.1%
4 12
 
4.3%
6 6
 
2.2%
9 6
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
83.4%
Dash Punctuation 46
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
25.5%
5 52
22.5%
3 37
16.0%
1 25
10.8%
2 16
 
6.9%
7 14
 
6.1%
4 12
 
5.2%
6 6
 
2.6%
9 6
 
2.6%
8 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
21.3%
5 52
18.8%
- 46
16.6%
3 37
13.4%
1 25
9.0%
2 16
 
5.8%
7 14
 
5.1%
4 12
 
4.3%
6 6
 
2.2%
9 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
21.3%
5 52
18.8%
- 46
16.6%
3 37
13.4%
1 25
9.0%
2 16
 
5.8%
7 14
 
5.1%
4 12
 
4.3%
6 6
 
2.2%
9 6
 
2.2%

팩스번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:25:49.018179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row055-323-1791
2nd row055-322-4449
3rd row055-328-6758
4th row055-327-1506
5th row055-335-3308
ValueCountFrequency (%)
055-323-1791 1
 
4.3%
055-336-8084 1
 
4.3%
055-324-2726 1
 
4.3%
055-343-4550 1
 
4.3%
055-343-3772 1
 
4.3%
055-313-0138 1
 
4.3%
055-724-2011 1
 
4.3%
055-322-1901 1
 
4.3%
055-323-1904 1
 
4.3%
055-313-3228 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T09:25:49.345912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 59
21.4%
- 46
16.7%
3 39
14.1%
0 38
13.8%
2 25
9.1%
1 21
 
7.6%
4 14
 
5.1%
9 10
 
3.6%
7 9
 
3.3%
8 9
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 59
25.7%
3 39
17.0%
0 38
16.5%
2 25
10.9%
1 21
 
9.1%
4 14
 
6.1%
9 10
 
4.3%
7 9
 
3.9%
8 9
 
3.9%
6 6
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 59
21.4%
- 46
16.7%
3 39
14.1%
0 38
13.8%
2 25
9.1%
1 21
 
7.6%
4 14
 
5.1%
9 10
 
3.6%
7 9
 
3.3%
8 9
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 59
21.4%
- 46
16.7%
3 39
14.1%
0 38
13.8%
2 25
9.1%
1 21
 
7.6%
4 14
 
5.1%
9 10
 
3.6%
7 9
 
3.3%
8 9
 
3.3%

홈페이지
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T09:25:49.575437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length25.956522
Min length22

Characters and Unicode

Total characters597
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowhttp://gusan-h.gne.go.kr/
2nd rowhttp://ghgaya-h.gne.go.kr/
3rd rowhttp://ghgeonseol-h.gne.go.kr/
4th rowhttp://gwon-h.gne.go.kr
5th rowhttp://gimhae-h.gne.go.kr
ValueCountFrequency (%)
http://gusan-h.gne.go.kr 1
 
4.3%
http://www.kumbul.hs.kr 1
 
4.3%
http://ghja-h.gne.go.kr 1
 
4.3%
http://jyjeil-h.gne.go.kr 1
 
4.3%
http://jinyoung-h.gne.go.kr 1
 
4.3%
http://jangyu-h.gne.go.kr 1
 
4.3%
http://gimhaejeil-h.gne.go.kr 1
 
4.3%
http://khimho-h.gne.go.kr 1
 
4.3%
http://www.yulha.hs.kr 1
 
4.3%
http://gimfl-h.gne.go.kr 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T09:25:49.920738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 69
11.6%
h 63
 
10.6%
g 60
 
10.1%
/ 56
 
9.4%
t 46
 
7.7%
n 34
 
5.7%
e 29
 
4.9%
k 28
 
4.7%
o 28
 
4.7%
: 23
 
3.9%
Other values (16) 161
27.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 429
71.9%
Other Punctuation 148
 
24.8%
Dash Punctuation 20
 
3.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
h 63
14.7%
g 60
14.0%
t 46
10.7%
n 34
7.9%
e 29
 
6.8%
k 28
 
6.5%
o 28
 
6.5%
p 23
 
5.4%
r 23
 
5.4%
a 16
 
3.7%
Other values (12) 79
18.4%
Other Punctuation
ValueCountFrequency (%)
. 69
46.6%
/ 56
37.8%
: 23
 
15.5%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 429
71.9%
Common 168
 
28.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
h 63
14.7%
g 60
14.0%
t 46
10.7%
n 34
7.9%
e 29
 
6.8%
k 28
 
6.5%
o 28
 
6.5%
p 23
 
5.4%
r 23
 
5.4%
a 16
 
3.7%
Other values (12) 79
18.4%
Common
ValueCountFrequency (%)
. 69
41.1%
/ 56
33.3%
: 23
 
13.7%
- 20
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 597
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 69
11.6%
h 63
 
10.6%
g 60
 
10.1%
/ 56
 
9.4%
t 46
 
7.7%
n 34
 
5.7%
e 29
 
4.9%
k 28
 
4.7%
o 28
 
4.7%
: 23
 
3.9%
Other values (16) 161
27.0%

Interactions

2023-12-11T09:25:44.299953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:44.117009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:44.386698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:44.201358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:25:50.025982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립학교명고교유형개교일자우편번호도로명주소위도경도전화번호팩스번호홈페이지
설립1.0001.0000.0001.0001.0001.0000.0000.0001.0001.0001.000
학교명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
고교유형0.0001.0001.0000.0000.9681.0000.4060.0001.0001.0001.000
개교일자1.0001.0000.0001.0000.9631.0000.6590.6961.0001.0001.000
우편번호1.0001.0000.9680.9631.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.0001.0000.4060.6591.0001.0001.0000.8181.0001.0001.000
경도0.0001.0000.0000.6961.0001.0000.8181.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T09:25:50.146605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립고교유형
설립1.0000.000
고교유형0.0001.000
2023-12-11T09:25:50.235684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설립고교유형
위도1.0000.2560.0000.115
경도0.2561.0000.0000.000
설립0.0000.0001.0000.000
고교유형0.1150.0000.0001.000

Missing values

2023-12-11T09:25:44.549425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:25:44.720414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시도명시군구명설립학교명고교유형개교일자우편번호도로명주소위도경도전화번호팩스번호홈페이지
0경상남도김해시공립구산고등학교일반고2015-03-01508-32경상남도 김해시 가야로 311 (구산동. 구산고등학교)35.25044128.875671055-310-7600055-323-1791http://gusan-h.gne.go.kr/
1경상남도김해시공립김해가야고등학교일반고1995-02-28509-53경상남도 김해시 경원로 98 (내동. 김해가야고등학교)35.236231128.87108055-330-1333055-322-4449http://ghgaya-h.gne.go.kr/
2경상남도김해시공립김해건설공업고등학교특성화고(직업)1978-03-01509-11경상남도 김해시 구지로 109 (구산동. 김해건설공업고등학교)35.239541128.875927055-340-7495055-328-6758http://ghgeonseol-h.gne.go.kr/
3경상남도김해시공립김해경원고등학교자율고1998-03-01509-57경상남도 김해시 우암로 18 (외동. 김해경원고등학교)35.231854128.861816055-310-3200055-327-1506http://gwon-h.gne.go.kr
4경상남도김해시공립김해고등학교자율고1974-03-11509-34경상남도 김해시 활천로24번길 29 김해고등학교 (삼정동. 김해고등학교)35.231388128.896087055-335-3307055-335-3308http://gimhae-h.gne.go.kr
5경상남도김해시공립김해대청고등학교일반고2003-03-06510-03경상남도 김해시 번화1로 7 . 김해대청고등학교 (대청동)35.187917128.800521055-310-5114055-310-5103http://ghdaecheong-h.gne.go.kr/
6경상남도김해시공립김해분성고등학교일반고2003-03-01508-99경상남도 김해시 가야로147번길 29 (삼계동.김해분성고등학교)35.265475128.874558055-331-2150055-331-2156http://www.bunsung.hs.kr
7경상남도김해시공립김해분성여자고등학교일반고2004-03-01508-99경상남도 김해시 삼계로 171 (삼계동)35.266624128.873867055-340-8600055-331-9251http://www.khbsg.hs.kr/
8경상남도김해시공립김해삼문고등학교일반고2004-03-01509-86경상남도 김해시 번화1로 127 (삼문동. 김해삼문고등학교)35.198613128.796991055-312-0157055-312-0159http://sammoon-h.gne.go.kr/
9경상남도김해시공립김해삼방고등학교일반고2008-03-01508-11경상남도 김해시 신어산길 17 (삼방동.삼방고등학교)35.255341128.902999055-312-8322055-312-8325http://ghsambang-h.gne.go.kr
시도명시군구명설립학교명고교유형개교일자우편번호도로명주소위도경도전화번호팩스번호홈페이지
13경상남도김해시공립김해영운고등학교일반고2006-03-01508-11경상남도 김해시 인제로284번길 33 . 김해영운고등학교 (삼방동)35.254674128.905475055-310-7300055-314-5925http://ghyeongun-h.gne.go.kr
14경상남도김해시공립김해외국어고등학교특수목적고2006-03-01510-21경상남도 김해시 율하로 266 (율하동. 김해외국어고등학교)35.170835128.804612055-312-1280055-313-3228http://gimfl-h.gne.go.kr
15경상남도김해시공립김해율하고등학교일반고2011-03-01510-14경상남도 김해시 율하1로 21 (율하동. 김해율하고등학교)35.174101128.806983055-323-1909055-323-1904http://www.yulha.hs.kr
16경상남도김해시공립김해임호고등학교일반고2012-03-02508-86경상남도 김해시 분성로3번길 77 . 김해임호고등학교 (외동)35.238262128.853116055-310-6300055-322-1901http://khimho-h.gne.go.kr/
17경상남도김해시공립김해제일고등학교자율고2011-03-01508-86경상남도 김해시 분성로3번길 105 (외동. 김해제일고등학교)35.239626128.853888055-329-6011055-724-2011http://gimhaejeil-h.gne.go.kr
18경상남도김해시공립장유고등학교일반고2001-03-09509-80경상남도 김해시 월산로 77 (부곡동.장유고등학교)35.202011128.803921055-310-7914055-313-0138http://jangyu-h.gne.go.kr
19경상남도김해시공립진영고등학교일반고1966-04-15508-65경상남도 김해시 진영읍 여래로20번길 35 (진영읍. 진영고등학교)35.304771128.73055-344-2706055-343-3772http://jinyoung-h.gne.go.kr/
20경상남도김해시공립진영제일고등학교특성화고(직업)1930-06-09508-64경상남도 김해시 진영읍 진영로265번길 9-4 (진영읍.진영제일고등학교)35.303735128.743241055-343-5411055-343-4550http://jyjeil-h.gne.go.kr
21경상남도김해시사립김해중앙여자고등학교일반고1996-03-01509-22경상남도 김해시 분성로376번길 21-22 . 김해중앙여자고등학교 (동상동)35.232597128.888619055-324-2724055-324-2726http://ghja-h.gne.go.kr/
22경상남도김해시사립김해한일여자고등학교특성화고(직업)1979-03-30508-24경상남도 김해시 삼안로112번길 1 . 김해한일여자고등학교 (안동)35.239238128.916675070-7860-7307055-336-8249http://khanil-h.gne.go.kr